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Washington Layoffs — April 2022

Employers in Washington recorded 3 WARN Act notices in April 2022, covering approximately 497 workers — marking a sharp increase from March and up 304% versus April 2021. The average filing covered 166 workers, with 3 closures among the notices.

3
Notices Filed
497
Workers Affected
166
Avg per Notice
3
Closures

Industry Breakdown

Industry breakdown for Washington
IndustryNoticesWorkers
Manufacturing2350
Retail1147

The Manufacturing sector accounted for the largest share of job cuts with 350 workers across 2 notices. At the same time, Retail reported 147 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Snohomish1258
King2239

Snohomish bore the heaviest burden, accounting for 52% of all affected workers with 258 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Everett1258
Bellevue1147
Kent192

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure3497

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Washington's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
FunkoEverett258Closure
WalmartBellevue147Closure
Kings Command FoodsKent92Closure

Leading the list was Funko at its Everett facility, reporting 258 affected workers. Walmart followed with 147 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The filings reflect mounting pressure on the Washington labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Washington. The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs and plant closings. Data is updated daily by WARN Firehose. View all Washington WARN notices, browse layoffs by state, or download the full dataset.

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